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ctsfeatures  

Analyzing Categorical Time Series
View on CRAN: Click here


Download and install ctsfeatures package within the R console
Install from CRAN:
install.packages("ctsfeatures")

Install from Github:
library("remotes")
install_github("cran/ctsfeatures")

Install by package version:
library("remotes")
install_version("ctsfeatures", "1.2.2")



Attach the package and use:
library("ctsfeatures")
Maintained by
Angel Lopez-Oriona
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-20
Latest Update: 2024-01-29
Description:
An implementation of several functions for feature extraction in categorical time series datasets. Specifically, some features related to marginal distributions and serial dependence patterns can be computed. These features can be used to feed clustering and classification algorithms for categorical time series, among others. The package also includes some interesting datasets containing biological sequences. Practitioners from a broad variety of fields could benefit from the general framework provided by 'ctsfeatures'.
How to cite:
Angel Lopez-Oriona (2023). ctsfeatures: Analyzing Categorical Time Series. R package version 1.2.2, https://cran.r-project.org/web/packages/ctsfeatures. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:29), 1.0.0 (2023-02-20 12:40), 1.1.0 (2023-10-24 19:30), 1.2.0 (2024-01-22 18:02), 1.2.1 (2024-01-23 09:22)
Other packages that cited ctsfeatures R package
View ctsfeatures citation profile
Other R packages that ctsfeatures depends, imports, suggests or enhances
Complete documentation for ctsfeatures
Functions, R codes and Examples using the ctsfeatures R package
Some associated functions: GeneticSequences . ProteinSequences . SleepStages . SyntheticData1 . SyntheticData2 . SyntheticData3 . binarization . calculate_features . calculate_motifs . calculate_subfeatures . conditional_probabilities . joint_probabilities . marginal_probabilities . plot_ccc . plot_cohen . plot_cramer . plot_cts . plot_ifsct . plot_mcc . plot_ph . plot_reg . plot_se . 
Some associated R codes: GeneticSequences.R . ProteinSequences.R . SleepStages.R . SyntheticData1.R . SyntheticData2.R . SyntheticData3.R . auxiliary_chebycheff_dispersion.R . auxiliary_cohens_kappa.R . auxiliary_cohens_kappa_function.R . auxiliary_correlation_i_j_k_function.R . auxiliary_cramers_vi.R . auxiliary_cramers_vi_function.R . auxiliary_entropy.R . auxiliary_gini_index.R . auxiliary_gk_lambda.R . auxiliary_gk_tau.R . auxiliary_list_to_matrix.R . auxiliary_motifs.R . auxiliary_p_i_j_k_function.R . auxiliary_pearson_measure.R . auxiliary_phi2_measure.R . auxiliary_sakoda_measure.R . auxiliary_spectral_envelope.R . auxiliary_total_correlation.R . auxiliary_total_mixed_correlation_1.R . auxiliary_total_mixed_correlation_2.R . auxiliary_uncertainty_coefficient.R . binarization.R . calculate_features.R . calculate_motifs.R . calculate_subfeatures.R . check_cts.R . conditional_probabilities.R . joint_probabilities.R . marginal_probabilities.R . plot_ccc.R . plot_cohen.R . plot_cramer.R . plot_cts.R . plot_ifsct.R . plot_mcc.R . plot_ph.R . plot_reg.R . plot_se.R .  Full ctsfeatures package functions and examples
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